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OpenClaw WeChat Mini Program file storage functionality

Mini Programs that can't handle files are like offices without filing cabinets — technically functional, but painfully limited. Whether it's user-uploaded images, generated reports, or conversation attachments, your OpenClaw-powered Mini Program needs a solid file storage strategy.

Let's build one.

The File Storage Challenge

WeChat Mini Programs have strict limitations:

  • 10MB max for local storage
  • No persistent filesystem — data disappears when the Mini Program is closed
  • Upload size limits vary by file type
  • Temporary URLs expire quickly

Your OpenClaw backend on Tencent Cloud Lighthouse becomes the persistent storage layer that the Mini Program itself can't provide.

Architecture Overview

Mini Program → Upload API → Lighthouse Storage → OpenClaw Processing
                                    ↓
                              File Metadata DB
                                    ↓
Mini Program ← Download API ← Lighthouse Storage

Setting Up the File Storage API

On your Lighthouse instance:

// /opt/clawdbot/api/file-storage.js
const express = require('express');
const multer = require('multer');
const path = require('path');
const crypto = require('crypto');
const fs = require('fs');

const app = express();
const STORAGE_DIR = '/opt/clawdbot/data/files';

// Configure upload handling
const storage = multer.diskStorage({
  destination: STORAGE_DIR,
  filename: (req, file, cb) => {
    const hash = crypto.randomBytes(16).toString('hex');
    const ext = path.extname(file.originalname);
    cb(null, `${hash}${ext}`);
  }
});

const upload = multer({
  storage,
  limits: { fileSize: 10 * 1024 * 1024 }, // 10MB
  fileFilter: (req, file, cb) => {
    const allowed = ['.jpg', '.jpeg', '.png', '.pdf', '.doc', '.docx', '.xlsx'];
    const ext = path.extname(file.originalname).toLowerCase();
    cb(null, allowed.includes(ext));
  }
});

// Upload endpoint
app.post('/api/files/upload', upload.single('file'), (req, res) => {
  if (!req.file) {
    return res.status(400).json({ error: 'No file uploaded or invalid type' });
  }
  
  const fileRecord = {
    id: path.parse(req.file.filename).name,
    original_name: req.file.originalname,
    size: req.file.size,
    mime_type: req.file.mimetype,
    uploaded_at: new Date().toISOString(),
    user_id: req.headers['x-user-id']
  };
  
  // Save metadata
  saveFileMetadata(fileRecord);
  
  res.json({
    file_id: fileRecord.id,
    download_url: `/api/files/${fileRecord.id}`,
    size: fileRecord.size
  });
});

// Download endpoint
app.get('/api/files/:fileId', (req, res) => {
  const metadata = getFileMetadata(req.params.fileId);
  if (!metadata) {
    return res.status(404).json({ error: 'File not found' });
  }
  
  const filePath = path.join(STORAGE_DIR, `${req.params.fileId}${path.extname(metadata.original_name)}`);
  res.download(filePath, metadata.original_name);
});

app.listen(3001, () => console.log('File storage API running on :3001'));

Mini Program Upload Integration

// pages/upload/upload.js
Page({
  chooseAndUpload() {
    wx.chooseMessageFile({
      count: 1,
      type: 'file',
      success: (res) => {
        const file = res.tempFiles[0];
        
        wx.uploadFile({
          url: 'https://YOUR_LIGHTHOUSE_IP/api/files/upload',
          filePath: file.path,
          name: 'file',
          header: {
            'x-user-id': wx.getStorageSync('userId')
          },
          success: (uploadRes) => {
            const data = JSON.parse(uploadRes.data);
            wx.showToast({ title: 'Upload complete!' });
            
            // Now send the file reference to OpenClaw for processing
            this.processWithAI(data.file_id, file.name);
          },
          fail: () => {
            wx.showToast({ title: 'Upload failed', icon: 'none' });
          }
        });
      }
    });
  },

  async processWithAI(fileId, fileName) {
    const res = await wx.request({
      url: 'https://YOUR_LIGHTHOUSE_IP/api/chat',
      method: 'POST',
      data: {
        message: `Please analyze the uploaded file: ${fileName}`,
        attachments: [{ file_id: fileId }]
      }
    });
    // Handle AI response about the file
  }
});

Storage Management

Keep your disk healthy with automated cleanup:

#!/bin/bash
# /opt/clawdbot/storage-cleanup.sh

STORAGE_DIR="/opt/clawdbot/data/files"
MAX_AGE_DAYS=30

echo "=== Storage Cleanup ==="
echo "Before: $(du -sh $STORAGE_DIR | awk '{print $1}')"

# Remove files older than 30 days
find $STORAGE_DIR -type f -mtime +$MAX_AGE_DAYS -delete

echo "After: $(du -sh $STORAGE_DIR | awk '{print $1}')"
echo "Cleaned files older than $MAX_AGE_DAYS days"

Schedule it weekly:

echo "0 3 * * 0 /opt/clawdbot/storage-cleanup.sh >> /var/log/clawdbot/cleanup.log 2>&1" | crontab -

Deploy on Lighthouse

Get your file storage backend running:

  1. Visit the Tencent Cloud Lighthouse OpenClaw page to provision your instance.
  2. Select the "OpenClaw (Clawdbot)" application template under "AI Agents".
  3. Deploy by clicking "Buy Now" — your file storage infrastructure is ready.

Backup Strategy

Files are data. Data needs backups:

# Daily backup of uploaded files
tar czf /opt/clawdbot/backups/files-$(date +%Y%m%d).tar.gz /opt/clawdbot/data/files/

# Keep 14 days of backups
find /opt/clawdbot/backups/ -name "files-*.tar.gz" -mtime +14 -delete

Security Considerations

  • Validate file types server-side, not just client-side
  • Scan uploads for malware before processing
  • Generate random filenames — never use the original filename on disk
  • Set proper permissions: chmod 640 on uploaded files
  • Rate limit uploads to prevent storage abuse
# Set secure permissions on the storage directory
chmod 750 /opt/clawdbot/data/files
chown clawdbot:clawdbot /opt/clawdbot/data/files

Monitoring Storage Health

#!/bin/bash
echo "=== Storage Health ==="
echo "Total files: $(find /opt/clawdbot/data/files -type f | wc -l)"
echo "Total size: $(du -sh /opt/clawdbot/data/files | awk '{print $1}')"
echo "Disk free: $(df -h /opt/clawdbot/data/files | tail -1 | awk '{print $4}')"
echo "Largest files:"
find /opt/clawdbot/data/files -type f -exec du -h {} + | sort -rh | head -5

Next Steps

File storage turns your Mini Program from a chat interface into a full-featured application platform. Documents, images, reports — all managed through your OpenClaw backend.

  1. Visit https://www.tencentcloud.com/act/pro/intl-openclaw to get your storage-ready instance.
  2. Select the "OpenClaw (Clawdbot)" template under "AI Agents".
  3. Deploy and give your Mini Program the file handling it deserves.

Files in. Intelligence out.